# Content Strategy Implementation Status (Verified)

_Last verified: May 26, 2026_

This page reflects a static code review of the **current implementation** and supersedes older roadmap claims in internal notes.

## What is implemented now

### Backend service architecture
Implemented modular service structure under:
- `backend/api/content_planning/services/content_strategy/core/`
- `backend/api/content_planning/services/content_strategy/ai_analysis/`
- `backend/api/content_planning/services/content_strategy/onboarding/`
- `backend/api/content_planning/services/content_strategy/performance/`
- `backend/api/content_planning/services/content_strategy/utils/`

### AI analysis module
Implemented:
- AI recommendation and analysis services
- Prompt engineering support
- Quality validation paths
- Multiple analysis modes and fallback handling

Key files:
- `ai_analysis/ai_recommendations.py`
- `ai_analysis/prompt_engineering.py`
- `ai_analysis/quality_validation.py`
- `ai_analysis/strategy_analyzer.py`

### Onboarding integration
Implemented (not placeholder-only):
- Onboarding data aggregation/integration
- Field transformation from onboarding inputs to strategy fields
- Data quality assessment scaffolding and scoring paths

Key files:
- `onboarding/data_integration.py`
- `onboarding/field_transformation.py`
- `onboarding/data_quality.py`

### Core strategy orchestration
Implemented:
- Main strategy service orchestration
- Constants and field mapping support
- API endpoint wiring in content strategy route modules

Key files:
- `core/strategy_service.py`
- `core/constants.py`
- `core/field_mappings.py`

## Partially implemented / needs hardening

### Performance layer
Files exist and are wired, but should be treated as **hardening required** for production-grade behavior:
- `performance/caching.py`
- `performance/optimization.py`
- `performance/health_monitoring.py`

Recommended hardening:
- Redis TTL policy verification
- cache invalidation consistency
- dependency health telemetry and alertability

### Utility + transformation overlap
There is overlap risk between:
- `onboarding/field_transformation.py`
- `utils/data_processors.py`

Recommended hardening:
- define one canonical transformation path
- align confidence/data-quality contract across services

## Not yet complete (from roadmap perspective)

- Advanced real-time analytics dashboards
- fully matured predictive insights / ML workflows
- enterprise collaboration workflows (versioning/approval patterns)

## Documentation policy

For public docs-site pages:
1. Treat this page as implementation truth for status language.
2. Use "implemented", "partial", or "planned" only when mapped to concrete files.
3. Avoid stale milestone dates; use explicit verification dates.

For internal docs in `docs/`:
- keep architecture notes and historical plans,
- but avoid status claims that conflict with this verified page.